Aircraft Battery Diagnostic and Prognostic System

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,968.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
N00014-07-M-0416
Agency Tracking Number:
N074-002-0399
Solicitation Year:
2007
Solicitation Topic Code:
N07-T002
Solicitation Number:
n/a
Small Business Information
QUALTECH SYSTEMS, INC.
100 Great Meadow Rd., Suite 603, Wethersfield, CT, 06109
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
808837496
Principal Investigator:
William Morrison
Systems Engineer
(860) 257-8014
bill@teamqsi.com
Business Contact:
Chuck Vallurupalli
President & Chief Operating Officer
(860) 257-8014
chuckv@teamqsi.com
Research Institution:
IDAHO NATIONAL LOBORATORY
Timothy C Murphy
2525 North Fremont Ave
Idaho Falls, ID, 83415
(208) 526-0480
Federally funded R&D center (FFRDC)
Abstract
Battery prognostic solutions tend to be tailored to the specific chemistry and application with years of characterization testing to fit the battery models to the actual battery performance. The effort laid out in this proposal is a collaboration between Qualtech Systems, Inc. (QSI) and the Energy Storage Testing Laboratories at the Idaho National Laboratories (INL). The proposed solution is a complete configurable Smart Battery Status Monitor (SBSM) system that is capable of providing fleetwide battery health management. The SBSM system incorporates advances in both measurement and estimation of battery parameters and inference of battery health in a framework that provides for online tuning / updating of battery models and life algorithms. The SBSM will consist of hardware and software systems for both near real-time in-situ monitoring and in-depth maintenance diagnostics of battery performance. The system software is designed to analyze the resulting measurements and predict remaining useful life. The software environment will consist of QSI's commercially available TEAMS-RDS, TEAMS-KB, and TEAMATE as well as a custom designed module for controlling the battery prognostic hardware, recording and analyzing the battery measurements and providing the results to RDS. The solution will provide fleetwide battery health monitoring and maintenance.

* information listed above is at the time of submission.

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